WORLD MODELS ATLAS
Latest source check: Oct 7, 2026Primary-source policyTürkçe
World Labs
What changed

Atlas broadens spatial output

World Labs reports one model spanning text, image, video, point clouds, and Gaussian splats.

Event date: Sep 1, 2026 · Published: Sep 1, 2026 · Source last checked:

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NVIDIA
What changed

Cosmos 3 opens its development stack

The technical report links multimodal world generation with released development artifacts.

Event date: Jun 2, 2026 · Published: Jun 1, 2026 · Source last checked:

DemonstratedCurrentSource
Waymo
What changed

Waymo adds a driving world model

The announced simulator targets controllable and counterfactual autonomous-driving scenes.

Event date: Feb 6, 2026 · Published: Feb 6, 2026 · Source last checked:

ReportedCurrentSource
Runway
What changed

Runway frames a general world model

GWM-1 extends generative video research toward controllable environments and robotics.

Event date: Dec 11, 2025 · Published: Dec 11, 2025 · Source last checked:

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NVIDIA Research
What changed

Cosmos 1.0 launches a world foundation model platform

NVIDIA presents the first Cosmos release as a development platform for physical AI.

Event date: Jan 6, 2025 · Published: Jan 6, 2025 · Source last checked:

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Decart & Etched
What changed

Oasis opens real-time interactive worlds

Decart and Etched publish a transformer-based world that responds to user input in real time.

Event date: Oct 31, 2024 · Published: Oct 31, 2024 · Source last checked:

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Meta AI
What changed

V-JEPA introduces latent video pretraining

Meta's first V-JEPA work establishes self-supervised joint-embedding prediction for video as a world-model pretraining objective.

Event date: Feb 15, 2024 · Published: Feb 15, 2024 · Source last checked:

DemonstratedCurrentSource
arXiv
What changed

GAIA-1 frames driving as a generative world

Wayve's GAIA-1 paper defines video-based generative world modeling for autonomous-driving research.

Event date: Sep 29, 2023 · Published: Sep 29, 2023 · Source last checked:

DemonstratedCurrentSource
Decart
What changed

Oasis 3 targets physical-AI training

Decart reports real-time, multi-view simulation environments controlled by physical signals and available through an API.

Event date: Date unknown · Published: Date unknown · Source last checked:

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